Articles | Volume 18, issue 22
Atmos. Chem. Phys., 18, 16631–16652, 2018
https://doi.org/10.5194/acp-18-16631-2018
Atmos. Chem. Phys., 18, 16631–16652, 2018
https://doi.org/10.5194/acp-18-16631-2018

Research article 26 Nov 2018

Research article | 26 Nov 2018

Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 2: AOD time series for 1995–2017 combined from ATSR ADV and MODIS C6.1 and AOD tendency estimations

Larisa Sogacheva et al.

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Cited articles

Aerosol Robotic Network AERONET, NASA and PHOTONS: available at: https://aeronet.gsfc.nasa.gov/, last access: 21 November, 2018.. 
Bouarar, I., Wang, X., and Brasseur, G. P.: Air Pollution in Eastern Asia: An Integrated Perspective, Springer, p. 504, 2017. 
CAAC: Clean Air Alliance of China, State Council air pollution prevention and control action plan, issue II, October 2013, available at: http://en.cleanairchina.org/product/6346.html (last access: 8 March 2017), English translation, 2013. 
Cao, Q., Liang, Y., and Niu, X.: China's Air Quality and Respiratory Disease Mortality Based on the Spatial Panel Model., Int. J. Environ. Res. Public Health, 14, 1081, https://doi.org/10.3390/ijerph14091081, 2017. 
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Understanding long-term trends in aerosol optical density (AOD) is essential for evaluating health and climate effects and the effectiveness of pollution control policies. A method to construct a combined AOD long time series (1995-2017) using ATSR and MODIS spaceborne instruments is introduced. The effect of changes in the emission regulation policy in China is seen in a gradual AOD decrease after 2011. The effect is more visible in highly populated and industrialized areas in southeast China.
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